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Method for extracting electrocardiographic characters based on Hermitian function

An extraction method and technology of electrical features, applied in the field of image processing, can solve problems such as loss

Inactive Publication Date: 2016-06-29
JIANGSU R & D CENTER FOR INTERNET OF THINGS
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AI Technical Summary

Problems solved by technology

The method of using RR intervals and R wave peaks as ECG signal features is widely used, but loses other aspects of the waveform

Method used

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  • Method for extracting electrocardiographic characters based on Hermitian function
  • Method for extracting electrocardiographic characters based on Hermitian function
  • Method for extracting electrocardiographic characters based on Hermitian function

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Embodiment Construction

[0023] The present invention will be further described below in conjunction with specific drawings and embodiments.

[0024] In the QRS wave of ECG, from left to right, there are R wave, Q wave and S wave;

[0025] The invention decomposes the electrocardiographic QRS wave with the first 4-order Hermitian function to obtain the coefficients of the 4 Hermitian functions, and forms a vector to represent the QRS wave with the 4 coefficients.

[0026] The embodiment of the whole invention is as figure 1 , the steps of ECG feature extraction are as follows:

[0027] (1) Take the R wave as the center, take f / 10 sampling points before and after, and obtain a 200ms long signal a;

[0028] (2) Take the zero signal of f / 10 before and after the signal a obtained in step 2 to obtain the 400ms long signal b, and the signal waveform of b is as follows figure 2 shown. figure 2 The signal in is a discrete signal, because the sampling rate is high, so the appearance is similar to a conti...

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Abstract

The invention provides a method for extracting electrocardiographic characters based on the Hermitian function, and mainly aims to solve the problems of more data points and direct signal processing difficulty after an electrocardiographic signal is sampled. The method comprises the following steps: prolonging forward and backward for 100ms by taking R wave point as a center, and intercepting a QRS wave having a length of 200ms; then respectively prolonging a 200ms zero signal before and after the 200ms wave, and respectively carrying out inner production on a 400ms signal with previous four orders of the Hermitian function to obtain Hermitian coefficients; and finally, forming a vector from four Hermitian coefficients, and representing the electrocardiographic characteristics by the vector. The method adopts a four-dimensional vector to represent electrocardiographic characters, has the advantage of high similarity degree with the original waveform, and can be used for processing electrocardiographic signals.

Description

technical field [0001] The invention belongs to the technical field of image processing and relates to feature extraction of electrocardiographic QRS waveforms, which can be used for electrocardiographic signal processing, express electrocardiographic signals with a small amount of data, and realize signal dimension reduction. Background technique [0002] With the development of economy and society and the improvement of people's living standards, the prevalence of heart diseases such as myocardial infarction, arrhythmia, and coronary heart disease is on the rise. Frequent heart diseases have brought a huge impact on people's lives and seriously threaten people's health. For a comprehensive understanding of the state of the heart, dynamic electrocardiograms are widely used. The dynamic electrocardiogram monitors the heart for 24 hours or 48 hours and generates a large amount of electrocardiographic data. Manually checking the ECG waveform is a heavy workload and error-pro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0452G06F17/15
CPCA61B5/7235A61B5/349G06F17/15
Inventor 孙括徐静波胡冰
Owner JIANGSU R & D CENTER FOR INTERNET OF THINGS
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